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Julia User & Developer Survey 2025: The annual Julia User & Developer Survey is open now through Monday, July 7. If you are a Julia user or developer, please click here to complete the survey. This survey provides the Julia community with important information about how Julia is used, areas for improvement, who Julia users and developers are, and more. You are also encouraged to post the link anywhere that Julia users and developers can be found, and to forward it to any Julia users or developers you might know. The survey is available in English, Spanish, Chinese (Traditional and Simplified), Japanese and Korean. The results of this survey will be presented at JuliaCon later this month. We are grateful to community members who provided feedback on the survey, and those who helped review translation.
JuliaCon Tickets, Housing and Schedule Now Available: JuliaCon 2025 will be held July 22-26 in Pittsburgh, Pennsylvania. Click here to purchase tickets and review the schedule.
Dyad: Last month, JuliaHub launched Dyad, a next-generation tool for model-based design. Dyad (previously called JuliaSim) leverages Julia and its scientific machine learning ecosystem (SciML) to provide a new set of modeling and simulation capabilities that combine multi-physics modeling, simulation, controls, and a range of SciML capabilities all in one package. Click here to watch.
More information about Dyad and Dyad Studio is available here:
Dyad News Coverage: JuliaHub announced the launch of Dyad with a press release that was published by more than 800 news outlets, including the Associated Press, Yahoo, Seeking Alpha and Morningstar. The press release was published by news outlets in the United States, Canada, Germany, Spain, United Kingdom, Switzerland, India, Morocco, France, Vietnam, Chile, Romania, Singapore, Brazil and UAE.
Makie v0.24: Makie v0.24 is now available. This release is ‘a major milestone that represents one of the most significant internal improvements to the plotting ecosystem in the past five years.’ Click here to learn more.
Free Online Julia Webinars from JuliaHub: JuliaHub provides free one-hour Webinars led by JuliaHub staff and other experts. Space is limited and registration is required, so please sign up today!
Recent JuliaHub Webinars: JuliaHub provides free one-hour Webinars on topics of interest to Julia users. More than 90 past Webinars are available online. Click here to watch.
JuliaHub at a Conference Near You: JuliaHub will be participating in several conferences this year. Click the links below to register or learn more.
JuliaCon Local Comes to Paris: The Julia community in Europe is organizing JuliaCon Local Paris October 2-3, 2025. Click here for more information.
A Gentle Introduction to Statistical Computing Using Julia: Sujit Chaugule (Institute of Chemical Technology, Mumbai) has created A Gentle Introduction to Statistical Computing Using Julia, a Julia version of Professor Amiya Ranjan Bhowmick’s A Gentle Introduction to Statistical Computing Using R. More information is available here.
Julia Dispatch Podcast: Julia Dispatch is a Julia podcast from Dr. Chris Rackauckas (JuliaHub VP of Modeling and Simulation) and Dr. Michael Tiemann. Click here to watch. Recent episodes include:
JuliaHub Consulting Services: Would your organization benefit from a 100x increase in simulation speeds? Dyad might be the solution you need. Click here for more information about Dyad, and to contact us to learn how Dyad can help your business succeed.
Free Compute on JuliaHub (20 hours): In addition to the features JuliaHub has always offered for free – Julia ecosystem search, package registration tools, a dedicated package server – the platform now also gives every user 20 hours of free compute. This allows people to seamlessly share Pluto notebooks and IDE projects with others and lets them get their feet wet with computing without having to open up their wallets. Click here to get started or check out Deep Datta’s introductory blog post, JuliaHub Is a Free Platform to Start Your Technical Computing Journey, which explains how and why to start using JuliaHub for cloud computing.
Converting from Proprietary Software to Julia: Are you looking to leverage Julia’s superior speed and ease of use, but limited due to legacy software and code? JuliaHub and our partners can help accelerate replacing your existing proprietary applications, improve performance, reduce development time, augment or replace existing systems and provide an extended trusted team to deliver Julia solutions. Leverage experienced resources from JuliaHub and our partners to get your team up and running quickly. For more information, please contact us.
Julia Expertise Needed at University of Glasgow: Dr. Eric Silverman, Research Fellow at the University of Glasgow, seeks a Research Associate for a 5-year research project on computational modeling for public health using an agent-based modeling framework developed in Julia. Julia experience and a PhD are required for this position. Click here for more information and to apply.
Julia and JuliaHub in the News
Julia Blog Posts
Upcoming Julia and JuliaHub Events
Recent Julia and JuliaHub Events
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About JuliaHub, Julia and Dyad
JuliaHub is a fast and easy-to-use code-to-cloud platform that accelerates the development and deployment of Julia programs. JuliaHub users include some of the most innovative companies in a range of industries including pharmaceuticals, automotive, energy, manufacturing, and semiconductor design and manufacture.
Julia is a high performance open source programming language that powers computationally demanding applications in modeling and simulation, drug development, design of multi-physical systems, electronic design automation, big data analytics, scientific machine learning and artificial intelligence. Julia solves the two language problem by combining the ease of use of Python and R with the speed of C++. Julia provides parallel computing capabilities out of the box and unlimited scalability with minimal effort. Julia has been downloaded by users at more than 10,000 companies and is used at more than 1,500 universities. Julia co-creators are the winners of the prestigious James H. Wilkinson Prize for Numerical Software and the Sidney Fernbach Award.
Dyad brings together cloud-native infrastructure, differentiable programming, and modular extensibility to support next-generation engineering workflows. Dyad enables the development of continuously improving digital models by integrating AI with scientific machine learning (SciML) in a safe, engineer-in-the-loop, environment. Dyad empowers teams to deploy smarter, faster, and more reliable systems without compromising on the rigor of traditional engineering for over-the-air updates, predictive maintenance and real-time performance tuning. Dyad Studio is a powerful Visual Studio Code (VS Code) extension for the Dyad Modeling Language – engineered for professionals who need more than what traditional modeling GUIs can offer. Our next release will be Dyad Builder which provides a graphical user interface for quickly constructing and analyzing system level models. Both of these tools are part of our Dyad platform, an AI-enabled system modeling system built from the ground up for the era of Software-Defined Machines.